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From Code to Kubernetes
The document outlines a presentation about the transition from code to Kubernetes, discussing architecture, technologies, challenges, and results of implementing infrastructure as code. It details the use of various tools such as Terraform, SaltStack, and WeaveScope for CI/CD pipelines and application debugging, highlighting the automated provisioning and management of cloud resources. Future improvements are suggested, including error handling and credentials management, to enhance the deployment and operational processes.
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From Code to Kubernetes
- 1. From Code toKubernetes
- 2. About Us Art Richards CTO- truckin.io
- 3. About Me Daniel Oliveira DevopsEngineer danieloliv79 danieloliveira079 daniel@truckin.io
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- 5. ● Scenario andArchitecture ● Technologies ● Challenges ● Results ● Foundations ● Infrastructure as Code ● Configuration Management ● Building and Deployments ● Application Debugging using Weavescope ● Demo - From code to Kubernetes ● Future ● QA
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- 11. One man's operationsteam Priorities vs Resources
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- 14. 8 Projects Frontend, BackendAPI, Android Development, Test, Staging, Demo and Production
- 15. Weekly Production deployments (mobile, frontendand backend)
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- 20. ● CI/CD Pipeline ●Infrastructure as Code ● Isolated Environments (Dev, Test, Demo, Staging, Production) ● Unified orchestrator for builds and deployments processes ● Integrations ● Easy application debugging ● Automation
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- 24. IaaS Cloud Provider Resources Network, Instances,IAM, Disk, Registry, Kubernetes Cluster Software, Packages and Configs Salt Master, Salt Minion, Docker, Postgresql and Elasticsearch ProvisioningOrder Desired State Minions, API, Reactor, Integrations
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- 28. IaaS Cloud Provider Resources Network, Instances,IAM, Disk, Registry, Kubernetes Cluster Software, Packages and Configs Salt Master, Salt Minion, Docker, Postgresql and Elasticsearch ProvisioningOrder Desired State Minions, API, Reactor, Integrations
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- 30. Basic network resourcesconfiguration file variable ● Command line tool (apply, plan, destroy) ● Multiples Providers ● Config based resources ● Usage of Variables ● Dependencies Graph ● Execution Plan ● Resource Creation in Parallel ● Multiples Provisioners ● Detailed Output dependency Terraform output
- 31. Configure 'Em All Network,Firewall, Subnetworks, Instances, Buckets, Disks, Kubernetes Cluster, Services Accounts and IAM
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- 33. IaaS Cloud Provider Resources Network, Instances,IAM, Disk, Registry, Kubernetes Cluster Software, Packages and Configs Salt Master, Salt Minion, Docker, Postgresql and Elasticsearch ProvisioningOrder Desired State Minions, API, Reactor, Integrations
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- 36. Selectors Master Minion Builder Executed imperatively viacommand line or reactively via Salt Reactor. salt cli selector command
- 37. Salt Pillars "Offer globalvalues that can be distributed to minions"
- 40. Salt States "The SLSis a representation of the state in which a system should be in, and is set up to contain this data in a simple format."
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- 43. Using defined pillarswithin states ● Introducing the map.jinja file ● Passing pillars values when compiling states
- 45. Output to MinionParse+ Merge SaltStack Compilation Process + =Pillars dictionaries States jinja2 Low Data Parse
- 46. Gitfs "The gitfs backendallows Salt to serve files from git repositories."
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- 49. Desired State ● 8VMs ○ Salt Master ○ Operator ○ Builder ○ Postgresql ○ Elasticsearch ○ 3 Kubernetes nodes ● 2 Persistent Data Disks: 500GB attached to PG and ELS ● 1 Kubernetes Cluster ● Network ○ Required Firewall Rules ○ 2 Subnets ● 2 IAM/Service Accounts: Pull/Push Docker Registry
- 50. Complete Cloud ProvisionFlow Network Firewall, Subnets, Static IPs, ... Instances Salt Master, Salt Minion, Postgresql, Elasticsearch, Builder, Operator Kubernetes Cluster Nodes, Firewall Rules, K8S Master and Workers ● $ terraform apply Salt states are applied just after an instance is created, based on its "role" specified in the grains config Core resources are created during this phase Creates the initial cluster state based on the number of nodes specified
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- 53. Google Cloud AdminPanel
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- 60. Show me theflow!
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- 63. Kubernetes Objects "Kubernetes Objectsare persistent entities in the Kubernetes system. Kubernetes uses these entities to represent the state of your cluster."
- 64. Kubernetes objects ● Abstracts:deployments, services, replica sets, ingress, ... ● Generated on the fly by Salt using templates ● Final .yaml file compiled including pillars and arguments ● $ kubectl apply -f mysite-development.yaml ● Garbage collector
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- 66. Builder 1 2 3 4 5 6 7 8 Code toImage Flow Registry Reactor push state.apply notify notify notify push notify
- 67. Operator Kubernetes Deployment Flow Registry Reactor (PostBuild) Pullkubectlstate.apply1 2 4 notify 3 5 notify 6
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- 76. Demo Live from codeto Kubernetes!
- 77. Future What must beimproved? ● Error Handling ● Credentials Management ● Logging and Monitoring ● On Demand Environments ● Terraform File Refactoring ● Implement Production ● Rollout Deployments ● Postgresql Cluster ● Elasticsearch Cluster ● ...
- 78. Wrap up What I'veseen so far? ● Automated provision ● Infrastructure as Code ● Event driven environment ● Fast delivery cycle ● Isolated environments ● Application Debugging ● ChatOps
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- 80. Doesn't have tobe perfect from day 0!
- 81. Pick up theright people "When you get into one of these groups, there's only a couple of ways you can get out: one is death, the other is mental institutions..." - Devops Engineer testimonial
- 82. Links Saltstack - https://saltstack.com SaltStates - https://docs.saltstack.com/en/latest/topics/tutorials/starting_states.html Salt Pillars - https://docs.saltstack.com/en/latest/topics/pillar/ Terraform - https://www.terraform.io/intro/index.html Weavescope - https://www.weave.works/products/weave-scope Kubernetesio - http://kubernetes.io Jenkins CI - https://jenkins.io Docker - https://docker.com Google Cloud Platform - cloud.google.com GCP Calculator - https://cloud.google.com/products/calculator/
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